Wisk Lauren E, Nelson Eliza B, Magane Kara M, Weitzman Elissa R
1 Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, USA.
2 Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
J Diabetes Sci Technol. 2019 May;13(3):445-456. doi: 10.1177/1932296819839503. Epub 2019 Apr 22.
We sought to quantify the efficiency and acceptability of Internet-based recruitment for engaging an especially hard-to-reach cohort (college-students with type 1 diabetes, T1D) and to describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools inclusive of participant safety and validity concerns.
We recruited youth (ages 17-25 years) with T1D via a variety of social media platforms and other outreach channels. We quantified response rate and participant characteristics across channels with engagement metrics tracked via Google Analytics and participant survey data. We developed decision rules to identify invalid (duplicative/false) records (N = 89) and compared them to valid cases (N = 138).
Facebook was the highest yield recruitment source; demographics differed by platform. Invalid records were prevalent; invalid records were more likely to be recruited from Twitter or Instagram and differed from valid cases across most demographics. Valid cases closely resembled characteristics obtained from Google Analytics and from prior data on platform user-base. Retention was high, with complete follow-up for 88.4%. There were no safety concerns and participants reported high acceptability for future recruitment via social media.
We demonstrate that recruitment of college students with T1D into a longitudinal intervention trial via social media is feasible, efficient, acceptable, and yields a sample representative of the user-base from which they were drawn. Given observed differences in characteristics across recruitment channels, recruiting across multiple platforms is recommended to optimize sample diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.
我们试图量化基于互联网的招募方式对于吸引一个特别难以接触到的群体(1型糖尿病大学生)的效率和可接受性,并描述使用现成工具在完全在线的情况下开展一项与健康相关试验的方法,其中包括参与者安全和有效性方面的问题。
我们通过各种社交媒体平台和其他外展渠道招募患有1型糖尿病的青少年(17 - 25岁)。我们使用谷歌分析跟踪的参与指标和参与者调查数据,对各渠道的回复率和参与者特征进行量化。我们制定了决策规则来识别无效(重复/虚假)记录(N = 89),并将其与有效案例(N = 138)进行比较。
脸书是招募成功率最高的来源;不同平台的人口统计学特征有所不同。无效记录很普遍;无效记录更有可能从推特或照片墙招募而来,并且在大多数人口统计学特征上与有效案例不同。有效案例与从谷歌分析以及平台用户基础的先前数据中获得的特征非常相似。保留率很高,88.4%的参与者完成了全程随访。没有安全方面的担忧,参与者对未来通过社交媒体进行招募的接受度很高。
我们证明,通过社交媒体将患有1型糖尿病的大学生招募到一项纵向干预试验中是可行、高效、可接受的,并且所获得的样本能够代表招募来源的用户群体。鉴于观察到不同招募渠道的特征存在差异,建议通过多个平台进行招募以优化样本多样性。使用现有平台的现成工具进行试验实施、参与度跟踪和保留是可行的。